AI Associate Data for AI Practice Question
Which TWO data sources can be used with Einstein Prediction Builder?
⚠ Common exam trap
Salesforce often tests the misconception that any data in Salesforce (like files or Chatter posts) can be used directly with Einstein Prediction Builder, when in fact only structured, field-level data from objects or harmonized Data Cloud objects is supported.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Data Cloud objects using the harmonized data model.
Einstein Prediction Builder requires structured data that can be mapped to a prediction objective. Data Cloud objects using the harmonized data model provide a unified, standardized schema that Prediction Builder can consume directly, enabling predictions across multiple Salesforce and external data sources. Standard Salesforce objects like Account and Opportunity are also supported because they contain the fields and relationships needed to train predictive models.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Files uploaded to Salesforce Files.
Why it's wrong here
Files are not a structured data source.
- ✓
Data Cloud objects using the harmonized data model.
Why this is correct
Data Cloud objects are supported.
- ✓
Standard Salesforce objects like Account and Opportunity.
Why this is correct
These are common data sources.
- ✗
Chatter feed posts.
Why it's wrong here
Chatter is unstructured text.
- ✗
Dashboard and report snapshots.
Why it's wrong here
Reports are not data sources for predictions.
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This AI Associate practice question is part of Courseiva's free Salesforce certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI Associate exam.